Evidence map›Paper›PMID 38783345›Full record

ArticlePlant methods2024

FruitPhenoBox - a device for rapid and automated fruit phenotyping of small sample sizes.

Norbert Kirchgessner, Marius Hodel, Bruno Studer, Andrea Patocchi, Giovanni A L Broggini

Abstract read
In one paragraph

Article in Plant methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Norbert KirchgessnerCrop Science, Institute of Agricultural Sciences, ETH Zurich, Universitaetstrasse 2, Zurich, 8092, Switzerland.ORCID http://orcid.org/0000-0001-8517-6555
Marius HodelFruit Breeding, Research Division Plant Breeding, Mueller-Thurgau-Strasse 29, Agroscope, Waedenswil, 8820, Switzerland.ORCID http://orcid.org/0000-0001-8789-506X
Bruno StuderMolecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, Universitaetstrasse 2, Zurich, 8092, Switzerland.ORCID http://orcid.org/0000-0001-8795-0719
Andrea PatocchiFruit Breeding, Research Division Plant Breeding, Mueller-Thurgau-Strasse 29, Agroscope, Waedenswil, 8820, Switzerland.ORCID http://orcid.org/0000-0002-0919-2702
Giovanni A L BrogginiMolecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, Universitaetstrasse 2, Zurich, 8092, Switzerland. giovanni.broggini@usys.ethz.ch.ORCID http://orcid.org/0000-0002-1011-4090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFruit appearance of apple (Malus domestica Borkh.) is accession-specific and one of the main criteria for consumer choice. Consequently, fruit appearance is an important selection criterion in the breeding of new cultivars. It is also used for the description of older varieties or landraces. In commercial apple production, sorting devices are used to classify large numbers of fruit from a few cultivars. In contrast, the description of fruit from germplasm collections or breeding programs is based on only a few fruit from many accessions and is mostly performed visually by pomology experts. Such visual ratings are laborious, often difficult to compare and remain subjective.

resultsHere we report on a morphometric device, the FruitPhenoBox, for automated fruit weighing and appearance description using computer-based analysis of five images per fruit. Recording of approximately 100 fruit from each of 15 apple cultivars using the FruitPhenoBox was rapid, with an average handling and recording time of less than eleven seconds per fruit. Comparison of fruit images from the 15 apple cultivars identified significant differences in shape index, fruit width, height and weight. Fruit shape was characteristic for each cultivar, while fruit color showed larger variation within sample sets. Assessing a subset of 20 randomly selected fruit per cultivar, fruit height, width and weight were described with a relative margin of error of 2.6%, 2.2%, and 6.2%, respectively, calculated from the mean value of all available fruit.

conclusionsThe FruitPhenoBox allows for the rapid and consistent description of fruit appearance from individual apple accessions. By relating the relative margin of error for fruit width, height and weight description with different sample sizes, it was possible to determine an appropriate fruit sample size to efficiently and accurately describe the recorded traits. Therefore, the FruitPhenoBox is a useful tool for breeding and the description of apple germplasm collections.

Indexed as

AppleBreedingFruit colorFruit shapeFruit weightGenetic resourcesImagingMalus domestica Borkh.Pomology

Identifiers

PMID38783345
PMCPMC11112871

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.